Ding Zhao

Tailored Primitive Initialization is the Secret Key to Reinforcement Learning ACL 2026 LocoTouch: Learning Dynamic Quadrupedal Transport with Tactile Sensing CORL 2025 Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining RSS 2025 ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling MLHC 2025 Causal Composition Diffusion Model for Closed-loop Traffic Generation CVPR 2025 Your Language Model May Think Too Rigidly: Achieving Reasoning Consistency with Symmetry-Enhanced Training ACL 2025 Safety is Not Only About Refusal: Reasoning-Enhanced Fine-tuning for Interpretable LLM Safety ACL 2025 DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles AAAI 2025 OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning NIPS 2024 BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning NIPS 2024 Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations AISTATS 2024 MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos CVPR 2024 RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios ECCV 2024 Learning from Sparse Offline Datasets via Conservative Density Estimation ICLR 2024 TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models ICLR 2024 Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer ICLR 2024 Feasibility Consistent Representation Learning for Safe Reinforcement Learning ICML 2024 Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm INTERSPEECH 2024 Functional optimal transport: regularized map estimation and domain adaptation for functional data JMLR 2024 Gradient shaping for multi-constraint safe reinforcement learning L4DC 2024 Embodied Executable Policy Learning with Language-based Scene Summarization NAACL 2024 Constrained Decision Transformer for Offline Safe Reinforcement Learning ICML 2023 Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics ICML 2023 Hyper-Decision Transformer for Efficient Online Policy Adaptation ICLR 2023 On the Robustness of Safe Reinforcement Learning under Observational Perturbations ICLR 2023 Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables AISTATS 2023 Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning NIPS 2023 LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream Videos WACV 2023 Can Brain Signals Reveal Inner Alignment with Human Languages? EMNLP 2023 Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision MLHC 2023 Continual Vision-based Reinforcement Learning with Group Symmetries CORL 2023 What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery CORL 2023 Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models? EACL 2023 Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation NIPS 2023 SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment ACL 2023 Learning Shared Safety Constraints from Multi-task Demonstrations NIPS 2023 Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models ICML 2023 Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data ICML 2023 Improve Speech Enhancement using Perception-High-Related Time-Frequency Loss INTERSPEECH 2022 Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation NIPS 2022 SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles NIPS 2022 CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing ICLR 2022 COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks ICLR 2022 GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction MLHC 2022 Constrained Variational Policy Optimization for Safe Reinforcement Learning ICML 2022 Prompting Decision Transformer for Few-Shot Policy Generalization ICML 2022 Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning NIPS 2022 Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training IJCAI 2022 Federated Pruning: Improving Neural Network Efficiency with Federated Learning INTERSPEECH 2022 A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes INTERSPEECH 2022 Robustness Certification of Visual Perception Models via Camera Motion Smoothing CORL 2022 CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation CORL 2022 Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving CVPR 2022 Personalized Keyphrase Detection Using Speaker and Environment Information INTERSPEECH 2021 Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems AISTATS 2021 Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes NIPS 2020 Shallow-Fusion End-to-End Contextual Biasing INTERSPEECH 2019